3D printing for an anterolateral thigh phalloplasty.

3D Printing Anterolateral thigh (ALT) flap Phalloplasty Vessel location

Journal

3D printing in medicine
ISSN: 2365-6271
Titre abrégé: 3D Print Med
Pays: England
ID NLM: 101721758

Informations de publication

Date de publication:
19 Dec 2023
Historique:
received: 14 09 2023
accepted: 11 12 2023
medline: 19 12 2023
pubmed: 19 12 2023
entrez: 19 12 2023
Statut: epublish

Résumé

Phalloplasty procedures are performed to create a phallus, typically as a gender-affirming surgery for treating gender dysphoria. Due to the controversial nature of this specific procedure, more innovation is needed to directly assist surgical teams in this field. As a result, surgeons are left to improvise and adapt tools created for other procedures to improve surgical outcomes. This study developed a patient-specific 3D printed model from segmented computed tomography (CT) scans to accurately represent the relevant vasculature necessary for anterolateral thigh (ALT) flap phalloplasty. The surgical procedure seeks to maintain intact vessels that derive from the descending branch of the lateral circumflex femoral artery, typically found traveling within the intermuscular septum between the rectus femoris and vastus lateralis. In this study, we created and printed 3D models of the leg and vasculature using two techniques: (1) a standard segmentation technique with the addition of a reference grid and (2) a bitmap method in which the total CT volume is colorized and printed. The results gathered included the physician's view on the model's accuracy and visualization of relevant anatomy. Bitmap-printed models resulted in a high amount of detail, eliciting surgeons' undesirable reactions due to the excess of information. The hybrid method produced favorable results, indicating positive feasibility. This study tested the ability to accurately print a patient-specific 3D model that could represent the vasculature necessary for ALT flap procedures and potentially be used in surgical reference and planning in the future. A surgeon performing phalloplasty procedures discussed their approval of both models and their preference for grid creation and application.

Sections du résumé

BACKGROUND BACKGROUND
Phalloplasty procedures are performed to create a phallus, typically as a gender-affirming surgery for treating gender dysphoria. Due to the controversial nature of this specific procedure, more innovation is needed to directly assist surgical teams in this field. As a result, surgeons are left to improvise and adapt tools created for other procedures to improve surgical outcomes. This study developed a patient-specific 3D printed model from segmented computed tomography (CT) scans to accurately represent the relevant vasculature necessary for anterolateral thigh (ALT) flap phalloplasty. The surgical procedure seeks to maintain intact vessels that derive from the descending branch of the lateral circumflex femoral artery, typically found traveling within the intermuscular septum between the rectus femoris and vastus lateralis.
METHODS METHODS
In this study, we created and printed 3D models of the leg and vasculature using two techniques: (1) a standard segmentation technique with the addition of a reference grid and (2) a bitmap method in which the total CT volume is colorized and printed.
RESULTS RESULTS
The results gathered included the physician's view on the model's accuracy and visualization of relevant anatomy. Bitmap-printed models resulted in a high amount of detail, eliciting surgeons' undesirable reactions due to the excess of information. The hybrid method produced favorable results, indicating positive feasibility.
CONCLUSIONS CONCLUSIONS
This study tested the ability to accurately print a patient-specific 3D model that could represent the vasculature necessary for ALT flap procedures and potentially be used in surgical reference and planning in the future. A surgeon performing phalloplasty procedures discussed their approval of both models and their preference for grid creation and application.

Identifiants

pubmed: 38112866
doi: 10.1186/s41205-023-00200-z
pii: 10.1186/s41205-023-00200-z
doi:

Types de publication

Journal Article

Langues

eng

Pagination

35

Informations de copyright

© 2023. The Author(s).

Références

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Auteurs

Maxwell W Walker (MW)

School of Engineering, Computation, and Design - Inworks Innovation Initiative, University of Colorado Anschutz Medical Campus, Aurora, USA.

Christodoulos Kaoutzanis (C)

School of Engineering, Computation, and Design - Inworks Innovation Initiative, University of Colorado Anschutz Medical Campus, Aurora, USA.
Anschutz Medical Campus; School of Medicine; Plastic Surgery, UCHealth University of Colorado Hospital, Aurora, USA.

Nicholas M Jacobson (NM)

School of Engineering, Computation, and Design - Inworks Innovation Initiative, University of Colorado Anschutz Medical Campus, Aurora, USA. Nicholas.Jacobson@CuAnschutz.edu.

Classifications MeSH